Building AI-Native Security and Scalable Data Ecosystems
CTO & Co-Founder @ Puaro.io | AI-Native Security | Principal Solution Architect | Specialist in High-Performance Data Pipelines & LLM Context Engines
With 13+ years of engineering leadership, my primary focus is building AI-native application security at Puaro.io. By developing a proprietary AI Context Engine, we're solving the industry's alert fatigue problem—achieving a <5% false positive rate and securing modern software supply chains. As a Principal Solution Architect, I also advise enterprise teams on data governance, scalable analytics, and modern GenAI orchestration (RAG, LLMOps).
Trusted to modernize data, analytics, and AI in global enterprises

Cisco
Modernized data platform for AI-driven customer operations

CTDEV
Delivered analytics upgrade supporting 40M daily sessions

Dell
Scaled telemetry analytics across 30+ product lines

Waves Audio
Built data mesh powering personalization in 170 countries

Tango.me
Implemented real-time engagement dashboards for 50M MAU

Traffilog
Introduced predictive maintenance reducing downtime 18%

Epam Systems
Led data platform migrations for regulated enterprise clients

Cisco
Modernized data platform for AI-driven customer operations

CTDEV
Delivered analytics upgrade supporting 40M daily sessions

Dell
Scaled telemetry analytics across 30+ product lines

Waves Audio
Built data mesh powering personalization in 170 countries

Tango.me
Implemented real-time engagement dashboards for 50M MAU

Traffilog
Introduced predictive maintenance reducing downtime 18%

Epam Systems
Led data platform migrations for regulated enterprise clients
What I can help with
Combining technology strategy, AI-native security, and high-performance data engineering to deliver measurable outcomes for enterprise teams.
Technology & AI Product Strategy
Define technology strategy and AI product roadmaps that align business goals, engineering execution, and security risk posture.
High-Performance Data Pipelines
Build enterprise-scale data engines (Kafka, Spark) and modernize operational pipelines to reliably support analytics for millions of users.
AI-Native Security & DevSecOps
Apply LLM orchestration, RAG, and vector search to code security and software supply chain workflows, reducing alert fatigue with context-aware analysis.
Governance, Security & FinOps
Establish governance frameworks for compliance, DevSecOps controls, and cost optimization to keep AI and data platforms reliable at scale.





